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A video review of multiple concussion signs in National Rugby League match play

机译:观看国家橄榄球联赛比赛中多个脑震荡迹象的视频回顾

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BackgroundVideo review has been introduced in many professional sports worldwide to help recognize concussions. However, to date, there has been very little research on the accuracy of using video analysis to identify signs of concussion and the various combinations of observed signs. MethodsThe objective of the study is to determine the accuracy of combinations of clinical signs of concussion identified using video analysis to identify concussions in the National Rugby League (NRL). Incidences of players using of the concussion interchange rule (CIR) ( n =?156), including those where athletes were diagnosed with a concussion ( n =?60), were used to calculate sensitivity and specificity of various combinations of concussion signs (unresponsiveness, slow to get up, clutching/shaking head, gait ataxia, vacant stare, and apparent seizure) and their independent association with an eventual diagnosis of concussion. ResultsUsing video analysis, players who were diagnosed with a concussion showed a significantly greater total number of signs at the time of injury (mean?=?3.4, SD?=?1.3) than those who were removed from play but not diagnosed with a concussion (mean?=?3.0, SD?=?0.9 signs; p =?.046). Players who did not return to play during the same game demonstrated a significantly greater number of total signs than those who did return to play in the same game following CIR activation (mean?=?3.4, SD?=?1.2 versus mean?=?2.9, SD?=?0.9; p =?0.002). The most common combination of signs that was observed was clutching/shaking the head and slowness in getting up (17.3%). The sensitivity of the total number of signs observed decreased as the number of signs increased (range?=?0.13–0.62), while the specificity increased as more signs were observed (range?=?0.29–0.90). Most of the combinations of different observed signs at the time of potential injury were highly specific (>?0.80), but not sensitive to an eventual diagnosis of concussion. When considering all potential predictor variables in a logistic regression model, anticipating the oncoming collision (OR?=?3.92, 95% CI?=?1.28–12.03), fewer number of defenders involved in the tackle (OR?=?0.58, 95% CI?=?0.36–0.92), and the presence of a blank or vacant stare (OR?=?2.97, 95% CI?=?1.26–7.01) were each significantly associated with concussion diagnoses. ConclusionsThe use of video review in the NRL is challenging, but being aware of the combinations of possible concussion signs and the likelihood that various presentations result in a concussion diagnosis can provide a useful addition to sideline concussion identification and removal from play decisions.
机译:背景视频评论已在全球许多专业运动中引入,以帮助识别脑震荡。但是,迄今为止,关于使用视频分析来识别脑震荡迹象以及观察到的迹象的各种组合的准确性的研究很少。方法该研究的目的是确定使用视频分析识别全国橄榄球联盟(NRL)的脑震荡所鉴定的脑震荡临床体征的准确性。使用脑震荡互换规则(CIR)(n =?156)的运动员的发病率,包括那些被诊断为脑震荡(n =?60)的运动员的发病率,用于计算各种脑震荡标志组合的敏感性和特异性(无反应性) ,起床缓慢,抓紧/摇头,步态共济失调,空洞的目光和明显的癫痫发作)以及它们的独立关联并最终诊断为脑震荡。结果通过视频分析,被诊断为脑震荡的球员受伤时的体征总数显着高于被撤出比赛但未被诊断为脑震荡的球员(平均?=?3.4,SD?=?1.3)。 (平均值≤3.0,SD≤0.9,p = .046)。在CIR激活后未在同一游戏中返回玩法的玩家所显示的总符号数量明显多于那些在同一游戏中恢复了玩法的玩家(平均值?=?3.4,SD?=?1.2与均值?=?)。 2.9,SD = 0.9,p = 0.002。观察到的最常见的体征组合是抓紧/摇头和起床缓慢(17.3%)。观察到的迹象总数的敏感性随着迹象数目的增加而降低(范围?=?0.13-0.62),而特异性随着观察到更多迹象而增加(范围?=?0.29-0.90)。在潜在伤害时,不同观察到的体征的大多数组合都是高度特异性的(> 0.80),但对脑震荡的最终诊断不敏感。在考虑逻辑回归模型中的所有潜在预测变量时,预计即将到来的碰撞(OR?=?3.92,95%CI?=?1.28–12.03)时,参与铲球的防御者数量会更少(OR?=?0.58,95) %CI?=?0.36-0.92),以及是否出现空白或空洞凝视(OR?=?2.97,95%CI?=?1.26-7.01)均与脑震荡诊断显着相关。结论在NRL中使用视频审阅具有挑战性,但是要意识到可能的脑震荡信号的组合以及各种提示导致脑震荡诊断的可能性,可以为边线脑震荡识别和从比赛决策中移除提供有用的补充。

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